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EPCO-15 : LINKING HISTOLOGICAL GLIOBLASTOMA PHENOTYPES TO TRANSCRIPTIONAL SUBTYPES AND PROGNOSIS USING DEEP LEARNING

Researchers

Presenter

  • Thomas Roetzer-Pejrimovsky

Principal Investigators

  • Barbara Kiesel

  • Karl-Heinz Nenning

  • Johanna Klughammer

  • Martin Rajchl

  • Christoph Bock

  • Johannes Hainfellner

  • Bernhard Baumann

  • Georg Langs

  • Adelheid Woehrer

Medical Centers

  • Department of Computing and Medicine, Imperial College London, London, United Kingdom

  • Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria

  • Center for Medical Physics and Biomedical Engineering, Medical University ofVienna, Vienna, Austria

  • Gene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, Munich, Germany

  • CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria

  • Nathan Kline Institute, New York, NY, USA

  • Department of Neurosurgery, Medical University of Vienna, Vienna, Austria

  • Department of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Lab, Medical University of Vienna, Vienna, Austria

Locations

  • United Kingdom

  • Austria

  • United States

  • Germany

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

Disease

  • Glioblastoma

  • Brain cancer

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A

Study Design

  • Cohort

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A

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